Tool-Wear Analysis Using Image Processing of the Tool Flank-Reference-Cited by-同舟云学术

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Tool-Wear Analysis Using Image Processing of the Tool Flank

Published:2017-11-30 Issue:12 Volume:9 Page:296
ISSN:2073-8994
Container-title:Symmetry
language:en
Short-container-title:Symmetry

Author:

Moldovan Ovidiu,Dzitac Simona,Moga Ioan,Vesselenyi Tiberiu,Dzitac Ioan

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Link

http://www.mdpi.com/2073-8994/9/12/296/pdf

Reference26 articles.

1. Condition-based tool management for small batch production

2. Investigation of cutting parameters affecting on tool wear and surface roughness in dry turning of Ti-6Al-4V using CVD and PVD coated tools

3. Tool life management of unmanned production system based on surface roughness by ANFIS

4. Tool condition monitoring by SVM classification of machined surface images in turning

5. An intelligent neural-fuzzy model for an in-process surface roughness monitoring system in end milling operations

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tool wear on machining of difficult-to-machine materials: a review;The International Journal of Advanced Manufacturing Technology;2024-08-03

2. FlankPix: An Image Segmentation Algorithm for Flank Wear Analysis in Monel K500 Turning;Traitement du Signal;2024-06-26

3. Hybrid prognostics to estimate cutting inserts remaining useful life based on direct wear observation;Mechanical Systems and Signal Processing;2024-03

4. Evaluation of data augmentation and loss functions in semantic image segmentation for drilling tool wear detection;Journal of Intelligent Manufacturing;2024-02-08

5. Hybrid prognosis of drill-bits based on direct inspection;Procedia Computer Science;2024

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